I build AI products end to end — from research to production. Currently founder & CEO of
Audiala, the AI travel companion: 1,000+ cities, 11 languages, fully
offline, built solo. Previously co-founded Magic Carpet AI, a deep-reinforcement-learning asset-management
startup, and sold it to Blockchain.com four years after founding — an eight-figure exit. PhD in computational
neuroscience from Imperial College London; engineering degrees from Technische Universität München and École
Centrale Marseille.
Building the AI travel companion: personal audio tours for any city — planned on the web, narrated on
the street, fully offline.
1,000+ cities live in 11 languages; 50,000 proprietary narration scripts; a new city costs ~$10 to
produce where legacy providers charge destinations $10,000+.
Built the entire stack solo: iOS, Android, web app, AI agent harness, and a 680,000-page SEO engine
cited by the LLMs themselves.
Microsoft AI Accelerator; cloud grants from Microsoft, AWS, and Google.
Co-founded Magic Carpet AI: deep reinforcement learning applied to portfolio management — new strategy
classes optimizing risk/return across asset baskets, taken from research to live capital.
As CTO, led research and development for four years with an 8-person London team of quant traders and
data scientists.
Developed a family of stable, high-performing investment algorithms that learn from past conditions and
adapt to current ones to balance risks and returns.
Led the development of a complete in-house trading and risk-management system tailored for digital
assets.
Eight-figure acquisition by Blockchain.com, November 2021.
Qualimatest — Software Developer
Jun 2013 – Oct 2014
Geneva, Switzerland · testing and quality-control solutions ·
qmt.ch
Built automated vision-control solutions: data acquisition, signal and image processing, algorithm and
GUI development, on-site installation.
Analyzed customer requirements and co-designed technical solutions across optics, software, and
hardware; owned testing, validation, and technical documentation.
Led QMTSubface, a partnership with EPFL applying machine learning to qualify the aesthetic properties
of objects.
Harvard Medical School — Research Trainee in Radiology
Jun – Dec 2012
Surgical Planning Laboratory, Brigham and Women's Hospital, Boston, USA ·
spl.harvard.edu
Master's thesis on medical-image segmentation and registration using mechanically inspired models —
evaluation phantom design, and efficient, publicly released software in Python and C++. Followed by
several peer-reviewed publications (MICCAI 2013, Medical Image Analysis 2017).
Prototyped analog hardware reading an electrocardiogram and driving a pump, for the world's first minimally
invasive non-blood-contacting cardiac assist device — the heart wall is pushed in sync with the ECG.
Airbus — Intern, A340 Final Assembly Line
Jul – Aug 2009
Toulouse, France
Assembly of motors, winglets, and landing gear; verification of electrical systems.
Education
Imperial College London — PhD, Computational Neuroscience
Nov 2014 – Oct 2017
Bioengineering Department, Computational Neuroscience Laboratory · supervisor Dr. Claudia Clopath
Modeled the dynamics of spiking recurrent neural networks — how gap-junction plasticity regulates
network-wide oscillations and ensures robust information transfer between brain regions; also studied the
relationship between blood oxygen concentration and neural activity. Graduate Teaching Assistant for
Computational Neuroscience, Mathematics, and Python.
PhD thesis.
Technische Universität München — Diplom-Ingenieur (Masters)
Sep 2010 – Dec 2012
Mechanical Engineering · major Medical Technology, minors Micro Technology & Product
Development · T.I.M.E. double-degree program
Thesis at the Surgical Planning Laboratory, Harvard Medical School — research, software engineering, and
mechanical engineering applied to radiology.
École Centrale Marseille — Ingénieur Centralien (Masters)
Sep 2008 – Dec 2012
Major Image & Signal Processing, minors Management & Communication
Thesis: an imaging system based on light polarization for biomedical applications — detection of skin
cancers.
Talks
Bernstein Conference — Computational Neuroscience
Sep 2017 · Göttingen
Gap junction plasticity as a mechanism to regulate network-wide oscillations
MICCAI 2013 — Medical Image Computing
Sep 2013 · Nagoya
Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy
Open-source extension with interactive tools to segment needles in MR/CT images, validated on MRI from
gynecological brachytherapy cases (MICCAI 2013).